Artificial Intelligence Technology Stock Current Liabilities
| AITX Stock | USD 0 0.0002 7.14% |
Artificial Intelligence Technology fundamentals help investors to digest information that contributes to Artificial Intelligence's financial success or failures. It also enables traders to predict the movement of Artificial Pink Sheet. The fundamental analysis module provides a way to measure Artificial Intelligence's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Artificial Intelligence pink sheet.
Artificial |
Artificial Intelligence Technology Company Current Liabilities Analysis
Artificial Intelligence's Current Liabilities is the company's short term debt. This usually includes obligations that are due within the next 12 months or within one fiscal year. Current liabilities are very important in analyzing a company's financial health as it requires the company to convert some of its current assets into cash.
Current liabilities appear on the company's balance sheet and include all short term debt accounts, accounts and notes payable, accrued liabilities as well as current payments due on the long-term loans. One of the most useful applications of Current Liabilities is the current ratio which is defined as current assets divided by its current liabilities. High current ratios mean that current assets are more than sufficient to pay off current liabilities.
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In accordance with the recently published financial statements, Artificial Intelligence Technology has a Current Liabilities of 0.0. This is 100.0% lower than that of the Technology sector and about the same as Computer Hardware (which currently averages 0.0) industry. The current liabilities for all United States stocks is 100.0% higher than that of the company.
Artificial Current Liabilities Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Artificial Intelligence's direct or indirect competition against its Current Liabilities to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Artificial Intelligence could also be used in its relative valuation, which is a method of valuing Artificial Intelligence by comparing valuation metrics of similar companies.Artificial Intelligence is currently under evaluation in current liabilities category among its peers.
Artificial Fundamentals
| Return On Asset | -1.02 | |||
| Operating Margin | (8.79) % | |||
| Current Valuation | 65.52 M | |||
| Shares Outstanding | 5.38 B | |||
| Price To Sales | 25.34 X | |||
| Revenue | 1.45 M | |||
| Gross Profit | 974.18 K | |||
| EBITDA | (45.84 M) | |||
| Net Income | (62.2 M) | |||
| Cash And Equivalents | 363.07 K | |||
| Total Debt | 20.31 M | |||
| Current Ratio | 0.95 X | |||
| Book Value Per Share | (0.01) X | |||
| Cash Flow From Operations | (14.83 M) | |||
| Earnings Per Share | (0.02) X | |||
| Number Of Employees | 85 | |||
| Beta | 5.29 | |||
| Market Capitalization | 47.86 M | |||
| Total Asset | 9.28 M | |||
| Z Score | -12.0 | |||
| Net Asset | 9.28 M |
About Artificial Intelligence Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Artificial Intelligence Technology's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Artificial Intelligence using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Artificial Intelligence Technology based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
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When running Artificial Intelligence's price analysis, check to measure Artificial Intelligence's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Artificial Intelligence is operating at the current time. Most of Artificial Intelligence's value examination focuses on studying past and present price action to predict the probability of Artificial Intelligence's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Artificial Intelligence's price. Additionally, you may evaluate how the addition of Artificial Intelligence to your portfolios can decrease your overall portfolio volatility.